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检索条件"任意字段=Multisensor. Multisource Information Fusion: Architectures, Algorithms, and Applications 2003"
284 条 记 录,以下是91-100 订阅
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Real-time tracking and fast retrieval of persons in multiple surveillance cameras of a shopping mall
Real-time tracking and fast retrieval of persons in multiple...
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Conference on multisensor. multisource information fusion - architectures, algorithms, and applications
作者: Bouma, Henri Baan, Jan Landsmeer, Sander Kruszynski, Chris van Antwerpen, Gert Dijk, Judith TNO POB 96864 NL-2509 JG The Hague Netherlands
The capability to track individuals in CCTV cameras is important for e.g. surveillance applications at large areas such as train stations, airports and shopping centers. However, it is laborious to track and trace peo... 详细信息
来源: 评论
Spatial Voting For Automatic Feature Selection, fusion, and Visualization
Spatial Voting For Automatic Feature Selection, Fusion, and ...
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Conference on multisensor. multisource information fusion - architectures, algorithms, and applications
作者: Jaenisch, Holger Handley, James Licht Strahl Engineering Inc. (United States) Johns Hopkins Univ. (United States) Alabama A&M Univ. (United States)
We present a novel feature selection, fusion, and visualization utility using Spatial Voting (SV). This SV feature optimization utility is designed to be an off-line stand-alone utility to help an investigator find us... 详细信息
来源: 评论
Probabilistic Multi-source Multi-INT Intel fusion Benefit Analysis
Probabilistic Multi-source Multi-INT Intel Fusion Benefit An...
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Conference on multisensor. multisource information fusion - architectures, algorithms, and applications
作者: Wisniewski, Ski (David) Hershey, Paul Raytheon 302 Sci Pk Rd State Coll PA 16802 USA Raytheon Dulles VA 20166 USA
The Process for Probabilistic Multi-Source Multi-INT Intel fusion Benefit Analysis** (PIFBA) provides a methodology for statistically computing the probability of detecting, locating, and tracking objects in order to ... 详细信息
来源: 评论
Novel classification fusion techniques for military target classification
Novel classification fusion techniques for military target c...
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Conference on multisensor. multisource information fusion
作者: Liu, Ting Lampropoulos, George A. AUG Signals 73 Richmond St W Toronto ON Canada
The objective of this paper is to develop novel classification structures for military targets detection and recognition by employing different fusion techniques. In real applications, the great diversity of materials... 详细信息
来源: 评论
PASES: Combining radar and video sensing for improved pedestrian safety
PASES: Combining radar and video sensing for improved pedest...
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Conference on multisensor. multisource information fusion - architectures, algorithms, and applications
作者: Chenault, David B. Edmondson, Richard P. Polaris Sensor Technol Inc 200 West Side SqSuite 320 Huntsville AL 35801 USA
Polaris Sensor Technologies reports on the development of Pedestrian Automated System for Enforcement and Safety (PASES), a radar and video based system used to monitor vehicle and pedestrian traffic with the intent o... 详细信息
来源: 评论
Hybrid methods for multisource information fusion and decision support
Hybrid methods for multisource information fusion and decisi...
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Conference on multisensor. multisource information fusion
作者: Braun, Jerome J. Glina, Yan MIT Lincoln Lab 244 Wood St Lexington MA 02173 USA
This paper presents the progress of an ongoing research effort in multisource information fusion for biodefense decision support. The effort concentrates on a novel machine-intelligence hybrid-of-hybrids decision supp... 详细信息
来源: 评论
Better-than-the-Best fusion Algorithm with Application in Human Activity Recognition
Better-than-the-Best Fusion Algorithm with Application in Hu...
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Conference on multisensor. multisource information fusion - architectures, algorithms, and applications
作者: Najjar, Nayeff Gupta, Shalabh Univ Connecticut Storrs CT 06269 USA
This paper introduces the Better-than-the-Best fusion (BB-Fus) algorithm. The BB-Fus algorithm is a simple and effective information fusion algorithm that combines the information from different sources (be it sensors... 详细信息
来源: 评论
fusion of Data from Multiple Sensors with Model-Based Data Analysis
Fusion of Data from Multiple Sensors with Model-Based Data A...
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Conference on multisensor. multisource information fusion - architectures, algorithms, and applications
作者: Straub, Jeremy Univ North Dakota Dept Comp Sci 3950 Campus RdStop 9015 Grand Forks ND 58202 USA
For many applications, the combination of multiple data sources is required to reach a conclusion. Limited communications and processing capabilities dictate transmitting, processing and reviewing information more lik... 详细信息
来源: 评论
Optimal sensor dimension reduction in estimation fusion
Optimal sensor dimension reduction in estimation fusion
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Conference on multisensor. multisource information fusion
作者: Song, EB Zhu, YM Zhou, J Sichuan Univ Dept Math Chengdu 610064 Peoples R China
When there exists the limitation of communication bandwidth between sensors and a fusion center, one needs to optimally pre-compress sensor outputs-sensor observations or estimates before sensors' transmission to ... 详细信息
来源: 评论
Mask Pyramid Methodology for Enhanced Localization in Image fusion and Enhancement
Mask Pyramid Methodology for Enhanced Localization in Image ...
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Conference on multisensor. multisource information fusion - architectures, algorithms, and applications
作者: Zhang, David C. Chai, Sek van der Wal, Gooitzen Berends, David Sufi, Azhar Buchanan, Greg Piacentino, Michael Burt, Peter J. SRI Int Sarnoff Princeton NJ 08540 USA
Image fusion is a process that combines regions of images from different sources into a single fused image based on a salience selection rule for each region. In this paper, we proposed an algorithmic approach using a... 详细信息
来源: 评论